尼加拉瓜儿童流感队列研究,2011-2019:流感发病率、季节性和传播

Hannah E Maier, G. Kuan, L. Gresh, G. Chowell, K. Bakker, R. López, N. Sanchez, Brenda López, Amy J Schiller, S. Ojeda, E. Harris, A. Balmaseda, A. Gordon
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引用次数: 6

摘要

背景。儿童占全球流感负担和传播的很大一部分,需要更好地了解儿童流感,以改进预防和控制战略。方法。为了检查流感的发病率和传播,我们在2011年至2019年期间对尼加拉瓜马那瓜0-14岁儿童进行了一项前瞻性社区研究。研究医生为参与者提供医疗护理,并通过RT-PCR证实有症状的流感。小波分析用于检验季节性。使用广义生长模型(GGMs)估计有效繁殖数。结果。从2011年到2019年,共有3016名儿童参与,平均每年约1800名参与者,每个儿童的中位随访时间为5年,2019年队列中48.3%的儿童终身参与。每100人年的总发病率为14.5例有症状的流感病例(95%CI: 13.9-15.1)和1.0例流感相关的ALRI病例(95%CI: 0.8-1.1)。有症状的流感发病率在9-11个月大时达到高峰。在流感流行高峰期出生的婴儿在其生命的第一年发病率较低。平均有效繁殖数为1.2(范围1.02-1.49),我们观察到流感和甲型流感的年周期显著,乙型流感的周期为2.5年。本研究为了解流感流行病学和制定流感疫苗政策提供了重要信息。这些结果将有助于为减轻流感负担的战略提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Nicaraguan Pediatric Influenza Cohort Study, 2011-2019: influenza incidence, seasonality, and transmission
Background. Children account for a large portion of global influenza burden and transmission, and a better understanding of influenza in children is needed to improve prevention and control strategies. Methods. To examine the incidence and transmission of influenza we conducted a prospective community-based study of children aged 0-14 years in Managua, Nicaragua between 2011 and 2019. Participants were provided with medical care through study physicians and symptomatic influenza was confirmed by RT-PCR. Wavelet analyses were used to examine seasonality. Generalized growth models (GGMs) were used to estimate effective reproduction numbers. Results. From 2011-2019, 3,016 children participated, with an average of ~1,800 participants per year and median follow-up time of 5 years per child, and 48.3% of the cohort in 2019 had been enrolled their entire lives. The overall incidence rates per 100 person-years were 14.5 symptomatic influenza cases (95%CI: 13.9-15.1) and 1.0 influenza-associated ALRI case (95%CI: 0.8-1.1). Symptomatic influenza incidence peaked at age 9-11 months. Infants born during peak influenza circulation had lower incidence in the first year of their lives. The mean effective reproduction number was 1.2 (range 1.02-1.49), and we observed significant annual patterns for influenza and influenza A, and a 2.5-year period for influenza B. Conclusions. This study provides important information for understanding influenza epidemiology and informing influenza vaccine policy. These results will aid in informing strategies to reduce the burden of influenza.
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